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🐴I'm obsessed with transforming supply chains through predictive and generative AI. My journey from mechanical engineering to AI innovation is driven by solving complex problems that matter.At Amazon, I led AI research for global buying, optimizing hundreds of millions of products and unlocking billions in cash flow. This experience revealed the massive potential in reimagining inventory management.Vision: AI-powered supply chains - invisible, efficient, and sustainable. At Bucephalus, we're empowering businesses to optimize operations, freeing them to focus on innovation and growth.As founder and CEO of Bucephalus, I'm scaling this vision. We're revolutionizing supply chain management and demand forecasting through:• Advanced Demand Forecasting: Leveraging deep learning and time series analysis to predict future demand with unprecedented accuracy• Reinforcement Learning for Inventory Optimization: Using RL algorithms to dynamically adjust inventory levels, minimizing costs while maximizing availability.• Generative AI for Scenario Planning: Employing large language models to generate and evaluate multiple supply chain scenarios, enhancing decision-making.• Faster information extraction and catalog cleaning using multimodal "semantic" data layers.We process millions of SKUs daily, consistently outperforming traditional methods by 30%+. Global retail sits on billions in inefficient inventory, and our scalable solution is positioned to dominate this space.Throughout my career - from data scientist at YouNow to managing $100M+ ad budgets for Bloomberg's 2020 campaign - I've turned data into action. At Bucephalus, we're creating unprecedented value with this philosophy.I believe in hands-on leadership and building high-performance teams. We're always seeking exceptional talent passionate about using AI to solve real-world problems.Beyond work: boxer, marathon runner, STEM mentor. Former Taichi and Shaolin long fist player. Guitarist and drummer. Fan of history. These pursuits fuel my product vision and data-driven approach. Actively involved in civic duties and volunteering.Education: PhD dropout, M.S. Nano Science & Mech Engineering, B.S. Mech EngineeringPast roles: Data Scientist & Researcher, Technical Product Manager, Data Engineer, Hardware EngineerLet's connect to revolutionize supply chains, explore AI applications, or discuss tech's future in business. The potential is limitless, and we're just getting started.
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FounderPyleeNew York, Ny, Us -
Founder - CeoBucephalus Tech Jul 2021 - PresentNew York, New York, Us• Spearheaded product strategy for AI-powered supply chain optimization platform, growing from 0 to 100+ clients and consistently outperforming traditional methods by 30%+• Architected advanced forecasting models using transformer architectures, improving prediction accuracy by over 30% across diverse product categories, resulting in significant free cash flow savings for clients.• Led development of reinforcement learning algorithms for dynamic inventory management, optimizing reorder points and quantities in real-time based on market fluctuations and supply chain disruptions.• Pioneered integration of multi-agent and Retrieval-Augmented Generation (RAG) with Large Language Models (LLMs) workflows, reducing decision-making time for supply chain managers by 50%.• Designed and implemented scalable data pipeline on AWS, leveraging vector databases for efficient similarity search in product catalogues, enhancing customer behavior analysis.• Established key partnerships with Fortune 500 and Federal Government agencies, driving adoption of AI powered supply chain solutions in federated enterprise environments.• Presented and managed customers through enterprise sales pipeline and customer success• Secured funding by presenting compelling product vision and go-to-market strategy to investors.• Managed agile product development cycles, translating customer feedback and market trends into a robust product roadmap for a cross-functional team of engineers, data scientists, and domain experts.• Established a data-driven culture, implementing backtesting, A/B testing frameworks and causal inference methodologies to quantify the impact of AI-driven interventions on key supply chain metrics. -
Ai Product & Data Science Lead - Strategic VenturesAmazon Jul 2019 - May 2021Seattle, Wa, Us• Led product strategy and development for AI-driven inventory optimization, selected as one of three recipients for internal moonshot funding due to potential for billion-dollar impact• Architected deep reinforcement learning model for long-term inventory cashflow forecasting, improving free cash flows by 25% over previous methods in new markets• Spearheaded data strategy and analytics for COVID-19 interventions, translating complex data insights into actionable strategies critical for adapting Amazon's global operations during high uncertainty• Managed 11-person cross-functional team of data scientists, analysts, and engineers, establishing operating procedures that improved team efficiency and knowledge sharing• Implemented Multi-Armed Bandit algorithms to optimize onboarding of global business partners in UAE, Japan, and Singapore, enhancing long-term free cash flow control in new markets and automation to 90% of catalog Key technologies: Python, PyTorch, AWS (SageMaker, Redshift, EC2, S3), SQL, Spark, Kubernetes -
Data Science Lead - Global Inventory PlanningAmazon Apr 2017 - Jul 2019Seattle, Wa, Us• Spearheaded transition of 30% of Amazon's global inventory buying from Oracle to AWS, leading a team of 8 software engineers to redesign systems enabling over 45 global teams to access data for root cause analysis• Architected and deployed machine learning models for seasonal demand forecasting, processing data for hundreds of millions of SKUs across multiple international markets. • Architected and deployed optimization algorithms managing 95% of Q4 seasonal inventory decisions, balancing cost with information to maximize efficiency and improve cash flow• Conceptualized and implemented optimization models to prioritize inventory for Prime Now and Fresh, resulting in over $10M annual savings in cash flow• Developed and scaled production models to provide inventory guidance on over 25M unique product-seller combinations weekly for Fulfilled by Amazon (FBA), significantly improving operational efficiencyKey technologies: Python, SQL, AWS (EC2, S3, Redshift), PyTorch, Spark, Git
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Applied Scientist & Product ConsultantHawkfish Llc Jan 2020 - Nov 2020New York City, Ny, Us• Took sabbatical from Amazon to help Mike Bloomberg's 2020 presidential campaign between December 2019 and April 2020. Returned to Amazon for COVID, but continued consulting through the general election. • Tech lead for the Mike2020 Digital Townhall event; deployed NLP pipeline on Google Cloud Platform for processing over 70K callers in real time, transcribing speech voicemails, and extracting sentiment and topic modeling.• Drove product backlog prioritization for election projection dashboard, coordinating multiple tech teams to deliver critical features on tight timelines• Spearheaded cross-channel identity resolution initiative, improving match rates by 12% and enabling more accurate downstream modeling• Developed and implemented data-driven strategies to optimize $100M+ ad spend across TV and digital platforms, resulting in 10% increase in average weekly brand lift• Leveraged advanced analytics and causal inference techniques to quantify ad performance and inform strategic decision-makingKey skills: Natural Language Processing, Google Cloud Platform, Real-time Data Processing, Product Backlog Management, Identity Resolution, Multivariate Testing, Causal Inference, Scalable Architecture Design -
Data Scientist - Product & Growth Analytics LeadYounow, Inc. Jan 2015 - Jan 2017New York , New York, Us• YouNow is a global consumer live streaming video platform, backed by USV, Venrock, Comcast Ventures, and other top investors• Led development and implementation of real-time audience engagement algorithms (Python, AWS, Redis), increasing broadcaster and audience engagement by 50% over control group• Spearheaded creation of internal A/B testing platform, including full analytics pipeline, empowering product teams to quantify and soft launch impact of new features • Designed and implemented end-to-end recommendation engine using collaborative filtering, increasing view time by 10% over editors-choice selections• Analyzed 100M+ daily user events to build predictive models, translating insights into strategic product initiatives and roadmap priorities for executive team and board members• Owned data roadmap, prioritizing data ingestion, feature tracking, dashboard development, and analysis to support product decisions• Conducted user interviews and competitive analysis of US and Chinese markets to enhance quantitative findings, identifying opportunities to boost revenue and next-day retention• Mentored junior data scientists and analysts, fostering a data-driven culture across the organizationKey technologies: Python, Redshift, S3, Redis, SQL, Machine Learning algorithms -
Project Manager - Manhattanville Development GroupColumbia University Jul 2014 - Nov 2014New York, Ny, Us• Partnered with contractors and subcontractors to create weekly reports presented to stakeholders for the Mind Brain Behavior (MBB) Building. • Resolved issues between sub-contractors to ensure project advanced on schedule.• Researched hundreds of pages of contracts and flagged language to legal department to support Columbia’s case in a warranty dispute. • Created weekly schedules to coordinate subcontractors and trades -
Assistant Operations ManagerSolidoodle Jun 2014 - Aug 2014• Managed machine shop floor operations, consisting of over a dozen employees and across a dozen stations.• Optimized station layout, installation sequencing, and scheduling.• Set up operation, safety, and training procedures for lathe, drill press, and quality assurance stations.• Improved maximum capacity of printed material station by over 50% by updating hardware firmware and maintaining equipment.
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Assistant Project Manager & Design EngineerMagnetic Analysis Corporation May 2012 - Sep 2013Elmsford, Ny, UsOriginal and redesign of rotary equipment for testing of tubes and pipes, including headplates, probe arm mechanisms, and coils.Identified and recommended use of a new motor for equipment following comparative testing.Found and corrected design errors for new systemsInteracted with vendors and clientsDealt with manufacturers in China to produce frame housing for hardware, wrote SOWs outlining expected outcome of our agreement.Project management: updated and maintained ECO's, ECR's and BOM Additionally responsibilities and exposures: updated and transferred old documents and drawings into SolidWorks or digital format. Gained exposure in soldering circuit components, transducer wiring,non destructive testing methods, ultrasound technology
Nicholas Degiacomo Skills
Nicholas Degiacomo Education Details
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Columbia UniversityMechanical Engineering -
Duke-Tsinghua Deep Learning Summer SchoolDeep Learning
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Manhattan UniversityMechanical Engineering
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École Catholique D'Arts Et MétiersHeat Transfer
Frequently Asked Questions about Nicholas Degiacomo
What company does Nicholas Degiacomo work for?
Nicholas Degiacomo works for Pylee
What is Nicholas Degiacomo's role at the current company?
Nicholas Degiacomo's current role is Founder.
What is Nicholas Degiacomo's email address?
Nicholas Degiacomo's email address is nd****@****zon.com
What is Nicholas Degiacomo's direct phone number?
Nicholas Degiacomo's direct phone number is +191495*****
What schools did Nicholas Degiacomo attend?
Nicholas Degiacomo attended Columbia University, Duke-Tsinghua Deep Learning Summer School, Manhattan University, École Catholique D'arts Et Métiers.
What are some of Nicholas Degiacomo's interests?
Nicholas Degiacomo has interest in Guitar, Programming, Social Services, Data Analysis, Education, Environment, Science And Technology, Music, Martial Arts.
What skills is Nicholas Degiacomo known for?
Nicholas Degiacomo has skills like Mechanical Engineering, Matlab, C++, Mathcad, Fluid Mechanics, Heat Transfer, Python, Engineering, Finite Element Analysis, Java, Thermodynamics, Machine Learning.
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